docstr: Update hyperparameters of the loss function
docstr_tok: ["Update","hyperparameters","of","the","loss","function"]
code: def update_hyperparameters(
      self, proximity_weight, diversity_weight, categorical_penalty
  ):
      """Update hyperparameters of the loss function"""
  
      self.hyperparameters = [
          proximity_weight,
          diversity_weight,
          categorical_penalty,
      ]
      self.proximity_weight = proximity_weight
      self.diversity_weight = diversity_weight
      self.categorical_penalty = categorical_penalty
  
imports: import copy
  import random
  import timeit
  import numpy
  import tensorflow
  from dice_ml import diverse_counterfactuals
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 7 for calling the DiceTensorFlow2 obj's underlying member method code with example usage: obj.update_hyperparameters(proximity_weight, diversity_weight, categorical_penalty) without return types